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Embodied AI 101
VetenskapTeknologi

Test-Time Compute Scaling for Robot Policies (DIRECT)

25 min•14 juni 2026
Larger models + more thinking + more context improve performance on some prompts but not others; a learned router enables better performance/latency trade-offs.

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Q-Guided Flow: Test-Time Gradient Guidance of Flow Policies
•35 min
Flow Reversal Steering: Guiding Diffusion-Based Robot Policies with High-Level Reasoning
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LabVLA: Bringing Vision-Language-Action to the Chemistry Lab
•42 min
Humanoid-GPT: A Foundation Model for Zero-Shot Humanoid Control
•26 min
CHORUS: Decentralized Multi-Robot Collaboration with a Single Shared VLA Model
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RISE: Self-Improving Robot Policy with Compositional World Model
•40 min
EmbodiedOneVision: Interleaved Vision-Text-Action Pretraining for General Robot Control
•35 min
Robix: A Unified Model for Robot Interaction, Reasoning and Planning
•35 min
Robotic World Model: Learning to Simulate for Robust Robot Control
•20 min

Embodied AI 101 med Shaoqing Tan finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.